Using generative AI for technical writing in Cisco thousands

As a writer of technical content for Cisco ThouSateyes, I must admit that my greatest fear is replaced by a generative algorithm AI. In the spirit of “keeping my friends and my enemies closer”, I decided to make friends with my potential rivals. In this article, I will share how the use of an internal AI assistant to Cisco has increased my ability to keep my technical writer with a rapid pace of changes in our industry.

Fast context switching

I work on several products for thousands and thanks to my previous lives as an engineer Night (network operations) and Backend software developers, my technical expertise means that I am often invited when the team needs further coverage. Although I have a wide and deep understanding of many technologies, the concentration needed to write about them is a concentration that I once did not lead as a developer to build them.

In engineering, “rubber ducks” mean to talk about the problem either on someone or something to organize one’s thoughts (not necessarily for the answer). I use the AI Cisco internal assistant as a rubber duck in the context switching situations. With the generative cottage AI I am able to lead a conversation where I can introduce ideas and ask it to summarize the key points I have to refresh. The conversational style quickly moves me to the head space necessary to create difficult context switches. Rather than needing half a day to get back into the stream, I can turn to a new task within 30 minutes.

Shorter conversations with small and medium -sized enterprises

Something that I am a technical writer will learn about new things. However, even though I love learning, due to our current speed (and volume) of innovations, I often feel as if I drank from fire. Cisco’s internal AI assistant provides me with a quiet space where I can safely ask for stupid questions about Ancumilior technology. This maximizes the value I can bring to interviews with EM (subject of an expert).

When small and medium -sized businesses have to go through the foundation, conversations can clean up to an hour and can even bridge several sessions. Even though I prepare on my own, I spend a lot of time to collect the information I need and recognize what is useful. With the help of Cisco’s internal AI assistant, the information is presented to me in a summary form that is easily spent. I can quickly assess this in terms of accuracy and I can ask questions about clarification and also respond to repairs to improve my results. He even shows me what sources she used, so I can go Deper myself. This significantly reduces the time I need to increase new technology. As a result of the use of Cisco’s internal AI assistant to increase in Akamilian technologies, my conversations with small and medium-sized enterprises are highly concentrated and efficient and usually sing only 15-20 minutes.

Recurrent reduced tasks

The documentation team in the thousand used the approval of “DOCS-As-Code”. For us, this means the lives of documentation in Github and format it using Markdown. Markdown tables are very tiring and susceptible to errors. When I have to create a new Markdown table, I use the AI Cisco internal assistant to create with the values I provide. Then I just have to copy and insert. It is also useful when I need to summarize content, such as providing a one -time description or writing a short introductory paragraph in the technical article. Cisco’s internal assistant can give me a summary that I need immediately, the source from our documentation and everything I have to do is check them.

Instant context information

The most difficult things to document are technical things. These are things that associate technical things with what the user really needs and wants. This is part of the writing process that concerned the experience and intuition of the writer. Technical writing is not just creating a lot of screen images and describing them. They find out what the user wants to do and then find out the best way to present information to minimize the user’s cognitive load.

Feedback collected by one of our product managers said that customers liked thousands of documentation better than our competitors. Care for our users is a great priority for my team. For example, I understand how difficult a sense of documentation can be in the middle of a highlight outage, especially when you were in the middle of the night. When I determine how to document something, I do a lot of research in the background, including viewing educational materials on the thousands of thousands and content with the design of users on Reddit and Stackoverflow websites. Asking the internal assistant AI Cisco, why someone could use something is part of the writing process much faster (even if it requires fineness to tell my challenges effectively).

The recommended list of cases and descriptions I get from AI not only allows me to empathize with our users, but also help me create my content to ensure stroke and easy use.

Receives Genai

The adoption of generative AI has been transformed my approach to technical Wring in Cisco thousands and transformed what could be an opponent on a powerful ally. By simplifying the switching of context, accelerating learning for conversations with small and medium -sized enterprises, recurring automation tasks, and providing immediate contextual knowledge, internal AI assistant to Cisco has not only increased my efficiency, but still increases the quality of our user -focused documentation. Rather than replacing the human touch, the internal AI assistant to Cisco amplifies my ability to empathize with users and provide clear and increasing the content that meets their needs, even in high -pressure scenarios. Since the pace of innovation is still accelerating, the integration of AI into technical writing is not just a practical choice – it is a strategic that seizes the writer to stay forward in a rapidly developing industry.

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